This is an open source module to consume the REST API of the BIM Portal Deutschland. In the future, it will show the relationship between the properties and their associated propery-sets / name-sets (PSETs) as a graph tree.
BIM-Portal-Deutschland-Visu is also a python client library for accessing the "BIM-Portal REST-API für öffentliche Merkmale".
The endpoint client (including documentation, typing, url requests etc.) was created automagically:
poetry add openapi-python-client
openapi-python-client generate --url https://bimdeutschland.github.io/BIM-Portal-REST-API-Dokumentation/swagger.yaml
from bim_portal_deutschland_visu.models import *
from bim_portal_deutschland_visu.api.organisationen import get_infrastruktur_api_v1_public_organisation
from bim_portal_deutschland_visu.api.merkmalsgruppen import get_merkmale_api_v1_public_propertygroup_guid, post_merkmale_api_v1_public_propertygroup
from bim_portal_deutschland_visu.api.filter_ import get_merkmale_api_v1_public_filter
from bim_portal_deutschland_visu.api.merkmale import get_merkmale_api_v1_public_property_guid, post_merkmale_api_v1_public_property
from bim_portal_deutschland_visu.types import Response
from bim_portal_deutschland_visu.client import Client, AuthenticatedClient
if __name__ == "__main__":
client = Client(base_url="https://via.bund.de/bim")
with client as client:
# 1) Access first api endpoint and get an list of Organisation classes back:
# Hint: The Organisation must provide their pset list via the rest api. This has set up explicitly by the org (?)
organisations: Organisation = get_infrastruktur_api_v1_public_organisation.sync(client=client)
# 2) Access the second API Endpoint and get a list of all Filter classes back:
# "Merkmalsfiltergruppen" are filter possibilites on property sets (PSETs)
# Currently, as of 28.06.2024, a property-set can be filtered by follwowing Filters: "Harmoniesierte AwF", "Leistungsphasen", "LOI" or one of their subclasses e.g. "Lph 1", "'010 Bestandserfassung und -modellierung'", "LOI 400"
pset_filter_groups: Filter = get_merkmale_api_v1_public_filter.sync(client=client)
print(pset_filter_groups)
# 3a) Access all publicly available and visible PSETs, that match the filter criteria
# Liste aller öffentlich sichtbaren Merkmalsgruppen, welche die übermittelten Suchkriterien erfüllen
# A pagination is active by default and gives a maximum of 1000 items per requests
# it returns a list of Merkmalsgruppen Classes, by default paginated to a maximum of 1000 if not further filter criteria are applied
matching_psets: Merkmalsgruppe = post_merkmale_api_v1_public_propertygroup.sync(client=client, body=Suchkriterium(page_number=0))
print(matching_psets[-1])
# 4a) Properties Post
# A pagination is active by default and gives a maximum of 1000 items per requests
# it returns a list of Merkmal Classes, by default paginated to a maximum of 1000 if not further filter criteria is applied
props_page0 : Merkmal = post_merkmale_api_v1_public_property.sync(body=Suchkriterium(page_number=0), client=client)
pass
First, create a client:
from bim_portal_deutschland_visu import Client
client = Client(base_url="https://via.bund.de/bim/infrastruktur/api/v1/public")
If the endpoints you're going to hit require authentication, use AuthenticatedClient
instead:
from bim_portal_deutschland_visu import AuthenticatedClient
client = AuthenticatedClient(base_url="https://via.bund.de/bim/infrastruktur/api/v1/public", token="ThisApiHasNoSecretTokenYet")
Now call your endpoint and use your models:
from bim_portal_deutschland_visu.models import MyDataModel
from bim_portal_deutschland_visu.api.my_tag import get_my_data_model
from bim_portal_deutschland_visu.types import Response
with client as client:
my_data: MyDataModel = get_my_data_model.sync(client=client)
# or if you need more info (e.g. status_code)
response: Response[MyDataModel] = get_my_data_model.sync_detailed(client=client)
Or do the same thing with an async version:
from bim_portal_deutschland_visu.models import MyDataModel
from bim_portal_deutschland_visu.api.my_tag import get_my_data_model
from bim_portal_deutschland_visu.types import Response
async with client as client:
my_data: MyDataModel = await get_my_data_model.asyncio(client=client)
response: Response[MyDataModel] = await get_my_data_model.asyncio_detailed(client=client)
By default, when you're calling an HTTPS API it will attempt to verify that SSL is working correctly. Using certificate verification is highly recommended most of the time, but sometimes you may need to authenticate to a server (especially an internal server) using a custom certificate bundle.
client = AuthenticatedClient(
base_url="https://internal_api.example.com",
token="SuperSecretToken",
verify_ssl="/path/to/certificate_bundle.pem",
)
You can also disable certificate validation altogether, but beware that this is a security risk.
client = AuthenticatedClient(
base_url="https://internal_api.example.com",
token="SuperSecretToken",
verify_ssl=False
)
Things to know:
-
Every path/method combo becomes a Python module with four functions:
sync
: Blocking request that returns parsed data (if successful) orNone
sync_detailed
: Blocking request that always returns aRequest
, optionally withparsed
set if the request was successful.asyncio
: Likesync
but async instead of blockingasyncio_detailed
: Likesync_detailed
but async instead of blocking
-
All path/query params, and bodies become method arguments.
-
If your endpoint had any tags on it, the first tag will be used as a module name for the function (my_tag above)
-
Any endpoint which did not have a tag will be in
bim_portal_deutschland_visu.api.default
There are more settings on the generated Client
class which let you control more runtime behavior, check out the docstring on that class for more info. You can also customize the underlying httpx.Client
or httpx.AsyncClient
(depending on your use-case):
from bim_portal_deutschland_visu import Client
def log_request(request):
print(f"Request event hook: {request.method} {request.url} - Waiting for response")
def log_response(response):
request = response.request
print(f"Response event hook: {request.method} {request.url} - Status {response.status_code}")
client = Client(
base_url="https://api.example.com",
httpx_args={"event_hooks": {"request": [log_request], "response": [log_response]}},
)
# Or get the underlying httpx client to modify directly with client.get_httpx_client() or client.get_async_httpx_client()
You can even set the httpx client directly, but beware that this will override any existing settings (e.g., base_url):
import httpx
from bim_portal_deutschland_visu import Client
client = Client(
base_url="https://api.example.com",
)
# Note that base_url needs to be re-set, as would any shared cookies, headers, etc.
client.set_httpx_client(httpx.Client(base_url="https://api.example.com", proxies="http://localhost:8030"))
This project uses Poetry to manage dependencies and packaging. Here are the basics:
- Update the metadata in pyproject.toml (e.g. authors, version)
- If you're using a private repository, configure it with Poetry
poetry config repositories.<your-repository-name> <url-to-your-repository>
poetry config http-basic.<your-repository-name> <username> <password>
- Publish the client with
poetry publish --build -r <your-repository-name>
or, if for public PyPI, justpoetry publish --build
If you want to install this client into another project without publishing it (e.g. for development) then:
- If that project is using Poetry, you can simply do
poetry add <path-to-this-client>
from that project - If that project is not using Poetry:
- Build a wheel with
poetry build -f wheel
- Install that wheel from the other project
pip install <path-to-wheel>
- Build a wheel with